SMARTS™ AI & MODELOPS

Trigger machine learning tasks and more

  • Operationalize data science models
  • Create new models to complement data science models
  • Manage the entire model lifecycle in one place

OPERATIONALIZE DATA SCIENCE MODELS

Integrate AI, machine learning, and deep learning models into your decision logic

  • PMML-compliant models (including Python, SPSS, SAS, or R)
  • Models in spreadsheet form
  • Models from external services

How to use a data science model in your decision

Exploring statistics and correlations in BluePen to build an auto insurance pricing model

Exploring 3-field correlations (Maximum Accidents, Average Work/School mileage, and Claim Based Risk Indicator) in BluePen

Inducing 9 rule sets and 55 total rules in BluePen

CREATE NEW MODELS TO COMPLEMENT DATA SCIENCE MODELS

Quickly create new models and integrate them into your decision logic through point-and-click

  1. Import a sample of your historical data to start
  2. Use BluePen to select the data attributes you want to use or let BluePen select them for you
  3. Auto-generate a model written in easy-to-understand business rules

MANAGE THE ENTIRE MODEL LIFECYCLE IN ONE PLACE

Monitor and augment models directly in SMARTS™

  • Leverage Decision Analytics capabilities
  • Create alerts for model drift
  • Conduct champion/challenger experiments and more

Manage models as part of your decision in SMARTS™

FEATURED BLOG POSTS

Predictive Modeling Examples in Decision Automation

Predictive Modeling Examples in Decision Automation

Predictive Modeling Examples Predictive models can be used to improve decision making throughout an organization’s daily operations and throughout their customer’s journey. Examples of predictive modeling applications include (but are not limited to): Customer...

What to Look For in a Decision Management System (DMS)?

What to Look For in a Decision Management System (DMS)?

Our “Decision Management 101” series is designed for business leaders who are unfamiliar with decision management and are currently facing challenges with automation, adaptability, and scalability. In Part 3, we cover what to look for in a decision management system.

The SMARTS™ Way to Predictive Analytics

The SMARTS™ Way to Predictive Analytics

It’s no secret that majority of predictive models, machine learning or otherwise, never get deployed. Operational silos, technology challenges, and lack of leadership are often the main hurdles. We can help.